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Paper des Monats
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Despite the advances in hardware and software techniques, standard numerical methods fail in providing real-time simulations, especially for complex processes such as additive manufacturing applications. A real-time simulation enables process control through the combination of process monitoring and automated feedback, which increases the flexibil- ity and quality of a process. Typically, before producing a whole additive manufacturing structure, a simplified experiment in form of a bead-on- plate experiment is performed to get a first insight into the process and to set parameters suitably. In this work, a reduced order model for the transient thermal problem of the bead-on-plate weld simulation is devel- oped, allowing an efficient model calibration and control of the process. The proposed approach applies the proper generalized decomposition (PGD) method, a popular model order reduction technique, to decrease the computational effort of each model evaluation required multiple times in parameter estimation, control and optimization. The welding torch is modeled by a moving heat source, which leads to difficulties separating space and time, a key ingredient in PGD simulations. A novel approach for separating space and time is applied and extended to 3D problems allowing the derivation of an efficient separated representation of the tem- perature. The results are verified against a standard finite element model showing excellent agreement. The reduced order model is also leveraged in a Bayesian model parameter estimation setup, speeding up calibrations and ultimately leading to an optimized real-time simulation approach for welding experiment using synthetic as well as real measurement data.
Despite the advances in hardware and software techniques, standard numerical methods fail in providing real-time simulations, especially for complex processes such as additive manufacturing applications. A real-time simulation enables process control through the combination of process monitoring and automated feedback, which increases the flexibility and quality of a process. Typically, before producing a whole additive manufacturing structure, a simplified experiment in the form of a beadon-plate experiment is performed to get a first insight into the process and to set parameters suitably. In this work, a reduced order model for the transient thermal problem of the bead-on-plate weld simulation is developed, allowing an efficient model calibration and control of the process. The proposed approach applies the proper generalized decomposition (PGD) method, a popular model order reduction technique, to decrease the computational effort of each model evaluation required multiple times in parameter estimation, control, and optimization. The welding torch is modeled by a moving heat source, which leads to difficulties separating space and time, a key ingredient in PGD simulations. A novel approach for separating space and time is applied and extended to 3D problems allowing the derivation of an efficient separated representation of the temperature.
The results are verified against a standard finite element model showing excellent agreement. The reduced order model is also leveraged in a Bayesian model parameter estimation setup, speeding up calibrations and ultimately leading to an optimized real-time simulation approach for welding experiment using synthetic as well as real measurement data.
Die zunehmende Anwendung hochfesten Betons in ermüdungsbelasteten Bauwerken, herausfordernde Belastungsszenarien im Bereich von On- und Offshore Windenergieanlagen bezüglich sehr hoher Lastwechselzahlen sowie das gleichzeitige Streben nach energie- und ressourcenschonendem Bauen stellen die Bemessung von Beton gegen Ermüdung vor neue Aufgaben. Eine Vielzahl von Studien beschreibt bereits die Auswirkung von Einflussfaktoren wie Mischungszusammensetzung, Feuchte, Probekörpergröße oder Belastungsart auf die Ermüdungsfestigkeit und den Ermüdungsprozess. Aufgrund der unterschiedlichen Geometrien und Mischungen der in den verschiedenen Studien verwendeten Proben sind die Auswirkungen der Einflussfaktoren jedoch kaum miteinander vergleichbar. In dem vom Bundesministerium für Wirtschaft und Klimaschutz (BMWK) geförderten Verbundprojekt WinConFat wurden deshalb verschiedene Einflussfaktoren gezielt an Proben mit einheitlichen Mischungen untersucht. Das durch die Bundesanstalt für Materialforschung und -prüfung (BAM) bearbeitete Teilprojekt fokussierte sich auf den „Einfluss der Probengeometrie und -größe auf die Ermüdung von Beton“. Neben der Erhebung von Daten zur Ermüdungsfestigkeit wurde der Ermüdungsprozess mit zerstörungsfreien Prüf- und Messmethoden untersucht. Diese Prüfmethoden wurden auch hinsichtlich ihrer Anwendbarkeit zur Erfassung der ermüdungsbedingten Schädigungsentwicklung an Betonbauwerken im Rahmen von Monitoringkonzepten bewertet. Untersucht wurden die Ermüdungsfestigkeiten und der Ermüdungsprozess an Zylindern mit drei unterschiedlichen Betonmischungen sowie unterschiedlicher Größe und Schlankheit. Die Ergebnisse dieser Untersuchungen werden im Folgenden vorgestellt und diskutiert.
Portland cement is one of the principal sources of anthropomorphic CO2 emissions. It is estimated that cement production contributes up to 10% of greenhouse gas emissions and annual cement production over 4 billion tons. This has led to the development of a range of alkali activated materials (AAM), the most common precursor materials being class F fly ash and blast furnace slag. At present Class C Fly Ash is not widely utilized as an AAM due to the chemical composition and activation requirements. However, initial research on high Calcium German Class C Fly Ash suggests that the material may have potential for application as an AAM. This paper reports the development of ambient cured alkali activated mortar optimised by varying the alkali modulus and w/b ratio. The evolution of the mechanical and microstructural properties is reported over the initial 28 day period. Compressive strength in excess of 10 MPa at 7 days and 15 MPa at 28 days was achieved at ambient temperature. Similar strengths were observed for both 10% and 15% dosage but as dosage increases the optimal Alkali Modulus reduces.
Currently, mandatory requirements and recommendations for the detection of irregularities in laser beam welded joints are based on classic micrographs as set out in the standard ISO 13919-1:2019. Compared to classic micrographs, computed tomography enables a non-destructive, three-dimensional and material-independent mode of operation, which delivers much more profound results. Even in building material testing, methods with limited informative value can be checked and supplemented by CT examinations.
Korrosionsprüfung
(2024)
Der Vortrag gibt einen Überblick über gängige Korrosionsversuche. Die wesentlichen Unterschiede zwischen Prüf- und Untersuchungsverfahren, deren jeweilige Zielstellung, Aussagefähigkeit und Grenzen werden aufgezeigt. Es werden ausgewählte Auslagerungsversuche, Kammerprüfungen sowie elektrochemische Messmethoden zur Bestimmung der Korrosionsbeständigkeit vorgestellt. Anhand praktischer Beispiele werden ausgewählte Ergebnisse der einzelner Methoden vorgestellt und diskutiert.
Übersichtsvortrag zu Korrosionsarten, die bei nichtrostenden Stählen unter verschiedenen Einsatzbedingungen auftreten können. Die Grundlagen zur Pasivität und der örtlichen Störung der Passivität werden im Zusammenspiel komplexer Einflussfaktoren des Korrosionssystems herausgestellt. Die erarbeiteten theoretischen Grundlagen werden anhand praktischer Beispiel für alle relevanten Korrosionsarten vertieft.
Combining buffing leather fibers from industrial waste streams with ammonium polyphosphate and bentonite clay is proposed as a flame-retardant additive for polypropylene. The paper addresses how they can be processed into attractive composites with the desired mechanical properties. Buffing leather fibers function as a multifunctional bio-filler and as a synergist for the flame retardant, resulting in fire retardancy successful enough to increase the oxygen index (LOI) by up to 7 vol.-% and to achieve a V0 UL 94 classification. Impressively reduced heat release rates are obtained in the cone calorimeter at 50 kW/m2 irradiation; for instance, the maximum average rate heat evolved (MARHE) drops from 765 to below 200 kW m 2. The synergistic effects are quantified and shown to be very strong for LOI and MARHE. This work opens the door to use waste buffing leather fibers as a promising multifunctional and synergistic bio-filler.
To ensure fire safety, polymers are filled with flame retardants and smoke suppressants. To meet the highest requirements, it is essential to understand the decomposition of those polymeric materials. This study reveals interactions between polymer, smoke suppressants, and flame retardants, and discusses their impact on the materials’ flame retardancy, smoke emission, smoke toxicity, and particle emission in conventional loadings to provide deeper general understanding. Low melting oxide glass, melem, spherical silica, sepiolite, melamine polyphosphate, and boehmite in an aluminum diethylphosphinate flame-retarded polyamide 6.6 were investigated. All smoke suppressants improve the protective layer and act as an adjuvant. Silica and melem performed best under forced flaming conditions. Spherical silica reduces the peak of heat release rate by 39% and the total heat evolved by 14%, whereas 10 wt% melem lowers the total smoke production by 41%. Melem alters the mode of action of aluminum diethylphosphinate from gas to more condensed phase activity. This change reduces flame inhibition and hence smoke toxicity, but further improves the protective layer due to charring reactions in the decomposition mechanism. In addition, the sizes of the smoke particles decrease because of the prolonged time in the pyrolytic zone. This study highlights that interactions between polymer, flame retardants, and smoke suppressants can significantly determine the smoking and burning behavior.
This presentation discusses the potentials of probabilistic methods in offshore foundation installation, from the perspective of probabilistic ground models and data-driven site characterization. We discuss about methodologies for utilizing site-specific geotechnical (CPT) and geological data, aiming to construct an integrated ground model that can predict stratigraphic profiles and useful for geotechnical design parameters at any location within a 3D domain. The predicted parameters and stratigraphy are then used to predict the probability of potential pile tip damage, upon collision with a boulder.